基于多代理的CSCL系统成员感知实现

针对一般基于多代理技术的CSCL系统中没有有效感知机制的问题,提出将具有感知功能的学习者Agent应用于协作学习系统中,描述学习者Agent的内部结构,给出感知功能模块中小组任务的分解和原子任务图的构造算法,定义感知强度的计算函数,对感知信息的呈现过程进行描述,有效解决现有协作学习系统中群体互动效果差、感知信息混乱的问题。     

基于角色的群体感知模型

群体感知理论的研究与应用是计算机支持协同工作的重要研究内容之一.在研究分析了当前群体感知模型研究工作现状的基础上,提出了一种基于角色的群体感知模型.该模型通过分解群组任务,把群组成员扮演的角色细化,对成员的具体活动进行基于角色的集合划分,并根据角色之间的差别程度来确定成员对不同活动的感知强度.最后对该模型的实现机制和应用领域进行了分析,并讨论了下一步研究中需要解决的若干问题.     

基于角色的群体感知模型实现机制

群体感知功能是计算机支持协同工作系统和群件系统必须支持的基本功能。文章分析了群体感知研究工作的现状,介绍了一种基于角色的群体感知模型RAM,给出了该模型实现的总体结构,并从角色任务树的组成和构造算法、角色管理框架和协议、感知模型引擎和系统调用API等几方面讨论了实现机制。最后给出了基于RAM的协同编著系统应用框架,讨论了在下一步研究中仍需解决的若干问题。     

移动群体感知中协作方法研究

在移动群体感知中,移动终端集成了丰富的感知设备和通信端口且分布广泛,能够收集、共享各类感知数据.然而,由于移动设备在感知能力、通信端口、移动规律等方面存在异构性,这与要收集实时、精确且覆盖全面的感知信息之间存在矛盾.为了在异构群体中收集优质的感知信息,提出了一种带有任务拆分的感知任务迁移算法(简称STOTS算法).该方法感知信息质量在感知数据覆盖率方面有所提高.     

协同工作中基于角色的群体感知技术研究

在研究和分析当前群体感知模型研究工作现状的基础上,对基于角色的群体感知模型进行扩展,得到扩展的基于角色的群体感知模型.该模型通过分解群组任务,把群组的成员扮演的角色细化,建立角色关系图,用以衡量角色之间的关联度.同时,结合在历史的协作下角色之间结成的合作关系强度,确定角色之间的感知关系,以此作为群组中角色之间的感知强度和感知空间的计算依据.还分析了该模型的实现机制,以提供协同科研工作平台项目中的群体感知机制.     

基于描述任务逻辑的群体组织协同关系模型

群体组织模型是深入研究群体协同行为的基础,而现有的组织模型大多集中在对Agent组织的结构或个体低层指令级的交互上,不能描述组织高层的动态任务交互。提出一个新的群体组织协同关系模型GRNA。该模型包含两个子模型:认知模型和交互模型。认知模型构建于领域本体之上,为GRNA模型提供准确的术语定义;交互模型则基于描述任务逻辑理论,反映了群体的任务协同语义。实例分析表明,GRNA支持对群体规范和能力的描述,提供了组织任务可完成性的可判定的推理服务,能够描述组织的高层任务交互语义。     

角色群体协作中的层次感知模型研究

群体感知是群体协作有效进行的前提条件.在分析当前群体感知模型及群体协作模型研究现状的基础上,以角色为协作基础,根据任务相关度、协作者间组织结构的紧密程度来进行分层感知,提出了一种支持层次角色群体感知的模型(role based hierarchical awareness model,简称RHAM).RHAM 首先构建了一个群体协作环境(group cooperation environment,简称GCE),然后在GCE 的基础上扩展定义群体协作感知内容、感知层次及感知相关特性.最后对该模型的应用进行了     

基于对象的协同感知模型及应用

由于现有的协同感知模型存在计算感知强度能力有限、缺乏对任务间关系的具体描述等问题,无法满足复杂产品研制过程中在任务分配方式、感知强度等方面的特殊需求.针对这一情况,提出一种基于对象的协同感知模型(OBCA模型),并对OBCA模型的工程化使用方法进行说明.在此基础上给出了OBCA模型的实现机制和应用示例,并实现了一个可将协同感知信息进行可视化的原型系统.实验结果表明,OBCA模型能具体描述任务结构关系并细化感知强度,弥补了其他感知模型的应用缺陷.     

一种面向信息质量的移动群智感知协作方法

现有的感知信息质量研究主要集中在节点的招募、选择和感知任务的分配阶段,缺少对感知任务执行过程的优化。为此,借鉴移动设备云中的感知任务迁移理念,设计基于效用的感知任务迁移算法,提出一种移动群体内节点间直接协作的感知方法。对感知任务的执行阶段进行优化,以解决移动设备的异构性与感知信息质量需求之间的矛盾。实验结果表明,与随机选择算法和基于多任务的参与者选择算法相比,该算法可有效提高感知数据覆盖率和感知任务完成率。     

基于FNN的SCADA安全防御模型研究

为实现SCADA系统的安全防御,以因素空间理论为基础,结合群体感知技术,定义了一种基于因素神经网络的SCADA安全防御模型,在遭受攻击时利用群体感知实现群体联动防御。该模型通过对攻击中所感知的因素进行分析,对所感知因素获取最优动作集,根据知识库中相关知识提取对应的结论或动作。同时,在防御任务概念基础上,对SCADA防御任务进行分解,利用元组空间对模型进行了形式化描述,为SCADA系统群体联动防御奠定理论基础。     

Multiple views system to support awareness for cooperative design

It is acknowledged that multiple views technology improves designer’s work efficiency by filtering redundant information. However, the increased need of cooperative activities in product design process requires views incorporating Cooperative awareness information (CAI), content of which should be lean for understanding and sortable according to importance. To achieve this target, this paper proposes an Object-based cooperative awareness model (OBCWM) and corresponding multiple views system. Requirements of CAI in product design are firstly analyzed. Then OBCWM is proposed, which consists of a CPM (Core product model) based concept framework. By use of CPM, an algorithm to calculate awareness intensity is developed based on object-oriented method. To support the mechanism of OBCWM, a multiple views system is then designed with “flexible view”, content of which is adjustable according to awareness intensity between CAI objects. After introduction to the system, application on a case is presented, followed by the evaluation of this system.     

Situation awareness and virtual globes: Applications for disaster management

This paper presents research on the use of virtual globes to support the development of disaster event situation awareness in humans via open source information analysis and visualization. The key technology used for this research is the Context Discovery Application (CDA), which is a geovisual analytic environment designed to integrate implicit geographic information with Google Earth™. A case study of humanitarian disaster management is used to demonstrate the unique abilities of the CDA and Google Earth^TM to support situation awareness. The paper provides some of the first empirical evidence on the utility of the virtual globes to support situation awareness for disaster management using implicit geographic information. The evidence presented was derived from evaluations by disaster management practitioners at the United Nations (UN) ReliefWeb project, an extremely relevant, yet difficult group to access for conducting academic disaster management research. Finally, ideas for future research on developing virtual globe applications to support situation awareness are described.     

商业CAD系统中的协作设计

商业CAD系统是一个支持多个设计者并行设计、协作完成同一设计任务的CAD系统.文中提出了基于客户／服务器结构、支持同步和异步设计的协作设计模型.并具体介绍了协作管理中的角色管理、任务管理、群体感知管理和数据管理的实现技术和技巧.     

Modelling Shared Contexts in Cooperative Environments: Concept,Implementation, and Evaluation

Users who work together require adequate information about their cooperative environment: about other group members presence and activities, about shared artefacts, etc. In the CSCW literature several concepts, prototypes, and systems for providing this group awareness information have been presented. In general, they capture information from the environment, process it, and present it to the users. This paper addresses the processing aspect; in particular, we present a concept for processing awareness information by means of awareness contexts. With this concept we address the problem of contextualising event notifications enabling the presentation of notifications in the appropriate user situation. We describe a lightweight model and its integration into an event and notification infrastructure. We report on an empirical study, and draw some conclusions for the design of context-awareness for cooperative environments.     

Cyber crime risk awareness in Kyrgyz Republic

ABSTRACT

In this paper we present the information security awareness rate of students in Kyrgyz Republic, where there is a rapid pace of formation and development of the information society. The survey was conducted with a sample of 172 students from different departments of the university. Our research study showed that despite the huge number of reports about computer crimes in the web, the knowledge about cybercrime is quite low and students are mostly not aware of many aspects of computer crime. Analysis was done to determine dependence of information security awareness rate on computer literacy rate and the education field of students. We conclude that although information technology is of wide usage, the information security topics need to be taught to prevent them from becoming victims of cyber crime.     

The MAUI Toolkit: Groupware Widgets for Group Awareness

Group awareness is an important part of synchronous collaboration, and support for group awareness can greatly improve groupware usability. However, it is still difficult to build groupware that supports group awareness. To address this problem, we have developed the Multi-User Awareness UI toolkit (MAUI) toolkit, a Java toolkit with a broad suite of awareness-enhanced UI components. The toolkit contains both extensions of standard Swing widgets, and groupware-specific components such as telepointers. All components have added functionality for collecting, distributing, and visualizing group awareness information. The toolkit packages components as JavaBeans, allowing wide code reuse, easy integration with IDEs, and drag-and-drop creation of working group-aware interfaces. The toolkit provides the first ever set of UI widgets that are truly collaboration-aware, and provides them in a way that greatly simplifies the construction and testing of rich groupware interfaces.     

Quantitative Analysis of Situation Awareness (QASA): modelling and measuring situation awareness using signal detection theory

This paper presents a model of situation awareness (SA) that emphasises that SA is necessarily built using a subset of available information. A technique (Quantitative Analysis of Situation Awareness – QASA), based around signal detection theory, has been developed from this model that provides separate measures of actual SA (ASA) and perceived SA (PSA), together with a feature unique to QASA, a measure of bias (information acceptance). These measures allow the exploration of the relationship between actual SA, perceived SA and information acceptance. QASA can also be used for the measurement of dynamic ASA, PSA and bias. Example studies are presented and full details of the implementation of the QASA technique are provided.

Practitioner Summary: This paper presents a new model of situation awareness (SA) together with an associated tool (Quantitative Analysis of Situation Awareness – QASA) that employs signal detection theory to measure several aspects of SA, including actual and perceived SA and information acceptance. Full details are given of the implementation of the tool.